This is an open access title available under the terms of a CC BY-NC-ND 3.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Explaining Criminal Careers presents a simple but influential theory of crime, conviction and reconviction. The assumptions of the theory are derived directly from a detailed analysis of cohort samples extracted from the Home Office Offenders Index - a unique database which contains records of all criminal (standard list) convictions in England and Wales since 1963. In particular, the theory explains the well-known Age/Crime curve. Based on the idea that there are only three types of offenders, who commit crimes at either high or low (constant) rates and have either a high or low (constant) risk of reoffending, this simple theory makes exact quantitative predictions about criminal careers and age-crime curves. Purely from the birth-rate over the second part of the 20th century, the theory accurately predicts (to within 2%) the prison population contingent on a given sentencing policy. The theory also suggests that increasing the probability of conviction after each offence is the most effective way of reducing crime, although there is a role for treatment programmes for some offenders. The authors indicate that crime is influenced by the operation of the Criminal Justice System and that offenders do not 'grow out' of crime as commonly supposed; they are persuaded to stop or decide to stop after (repeated) convictions, with a certain fraction of offenders desisting after each conviction. Simply imprisoning offenders will not reduce crime either by individual deterrence or by incapacitation. With comprehensive explanations of the formulae used and complete mathematical appendices allowing for individual interpretations and further development of the theory, Explaining Criminal Careers represents an innovative and meticulous investigation into criminal activity and the influences behind it. With clear policy implications and a wealth of original and significant discussions, this book marks a ground-breaking chapter in the criminological debate surrounding criminal careers.

Most criminological theories are not truly scientific, since they do not yield exact quantitative predictions of criminal career features, such as the prevalence and frequency of offending at different ages. This Element aims to make progress towards more scientific criminological theories. A simple theory is described, based on measures of the probability of reoffending and the frequency of offending. Three offender categories are identified: high risk/high rate, high risk/low rate, and low risk/low rate. It is demonstrated that this theory accurately predicts key criminal career features in three datasets: in England the Offenders Index (national data), the Cambridge Study in Delinquent Development (CSDD) and in America the Pittsburgh Youth Study (PYS). The theory is then extended in the CSDD and PYS by identifying early risk factors that predict the three categories. Criminological theorists are encouraged to replicate and build on our research to develop scientific theories that yield quantitative predictions.